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Headquarters: United States, Remote Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. IT Support Specialist About the Role 6sense is looking for an IT Support Specialist who is passionate about delivering exceptional employee experiences through world-class IT support. This role combines hands-on end user support with administration of modern workplace technologies, identity systems, SaaS applications, endpoint management, and AI platforms. You'll support a global workforce while helping improve IT operations through automation, documentation, and process improvement. We're looking for someone who enjoys solving problems, learning new technologies, and creating scalable solutions that make employees more productive. What You'll Do Provide Tier 1 and Tier 2 support through tickets, chat, email, and remote support sessions. Support macOS, Windows 11, Microsoft 365, Teams, Slack, and Zoom environments. Manage user lifecycle processes including onboarding, offboarding, access requests, and role changes. Administer and troubleshoot Okta, Entra ID, SSO, MFA, and identity-related services. Support and manage SaaS platforms including Microsoft 365, Slack, Zoom, 1Password, GitHub, Claude Enterprise, and Workato. Deploy, configure, and maintain endpoints using Intune, Iru, and CrowdStrike. Maintain accurate asset inventory and device lifecycle management. Support Microsoft Copilot, Claude, and other AI technologies while promoting responsible AI practices. Develop scripts, automations, and workflow improvements that reduce manual effort and improve efficiency. Create and maintain documentation, knowledge articles, and standard operating procedures. Provide occasional support for Zoom Rooms, Teams meetings, executive users, and company events. What We're Looking For 3+ years of experience in IT Support, Help Desk, Service Desk, or End User Computing. Experience supporting macOS and Windows environments. Hands-on experience with Microsoft 365, Teams, Slack, and Zoom. Familiarity with identity and access management concepts including Okta, Entra ID, SSO, and MFA. Experience with endpoint management tools such as Intune, Iru, or similar MDM platforms. Strong troubleshooting, communication, and customer service skills. Experience working in a fast-paced, remote-first environment. Basic scripting or automation experience using PowerShell, Bash, Python, Workato, or similar tools. Interest in AI technologies such as Microsoft Copilot and Claude. Strong attention to detail, ownership, and a continuous improvement mindset. Bonus Points Experience administering Okta, Entra ID, Intune, or Iru. Experience with Workato or workflow automation platforms. Experience supporting AI platforms and governance practices. ITIL, Okta, Microsoft, Apple, or security-related certifications. Experience supporting executive stakeholders and globally distributed teams. Success in This Role You'll thrive in this role if you're customer-obsessed, highly organized, technically curious, and motivated to improve how IT services are delivered. Success will be measured through service quality, SLA performance, knowledge sharing, asset management accuracy, and contributions to automation and process improvement. Base Salary Range: $73,577.25 - $103,913.30. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense's total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense's board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy Our Benefits: Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We'll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. Equal Opportunity Employer: 6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com . We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. A ll email communications from 6sense will originate from the @6sense.com domain . We will not initially contact you via text message and will never request payments . If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@ 6sense.com To apply: https://weworkremotely.com/remote-jobs/6sense-it-support-specialist

Headquarters: Bulgaria URL: http://jobhire.ai Description CVM Lead (US Market) Location: Remote Job Type: Full-time About JobHire.AI JobHire.AI is a vertical AI agent that automates job search for professionals in the US market. We find, tailor, and apply to jobs on behalf of thousands of paying subscribers — at scale and with precision. We operate a subscription model with monthly and longer-term tiers, plus paid add-ons. We're entering a phase where deeper customer value management — not just acquisition — is the single biggest unlock for profitable growth. Why This Role Now We are spending efficiently to acquire users — but a substantial portion of revenue is left on the table after the first purchase. Reg→Purchase conversion is below where it should be. Rebill rates erode quickly past month one. Add-on attach is minimal. Our reactivation engine is currently offline. We've been operating an email-only CRM on a platform that doesn't return analytics through its API. That ends with this hire. This is a role for someone who has already done the transformation we need: turning a basic broadcast CRM into a measurable CVM function that drives incremental revenue across email, SMS, and web push — on the US market specifically. What You'll Own Funnel Conversion Drive Reg→Purchase conversion through triggered post-quiz, paywall-abandonment, and onboarding sequences across email, SMS, and web push. Own first-purchase activation across the first 7 days. Retention & Rebill Differentiate renewal sequences by plan tier (1 / 3 / 6 month). Build pre-cancel intervention flows — pause offer, plan-switch, value reminder — using captured cancel reason. Move the dial on month-1 rebill rate, the single most leveraged metric in our subscription economics. Reactivation Build the reactivation engine for the cancelled cohort — across email and SMS, personalized by cancel reason and tenure. Recover revenue from a base that is currently dormant due to deliverability issues. Add-on Monetization Own the CRM-driven path to add-on products (Resume Review, Resume Builder): timing, segmentation, copy, channel. Channel & Tooling Lead the migration off our current ESP onto our chosen omnichannel platform (Maestra is the current candidate; Customer.io is the alternative). Recover and maintain email domain reputation. Stand up SMS as a first-class channel — including US compliance (TCPA, A2P 10DLC). Stand up web push and orchestrate cross-channel flows (email → SMS → push cascades). Measurement Implement incremental measurement with holdouts on every flow. We don't want activity reports — we want incremental revenue, attributable and defensible. Expected Outcomes First 3 Months Email deliverability restored to historical baseline. Reactivation campaign launched with measurable incremental conversion against a holdout. Differentiated renewal flows live for 1 / 3 / 6 month plans. Decision (signed off with engineering) on omnichannel platform: migrate to Maestra or alternative. First 6 Months SMS and web push live as ongoing production channels in lifecycle flows. Measurable lift in Reg→Purchase conversion via paywall-abandonment and post-registration triggered sequences. Measurable lift in month-1 rebill rate via differentiated and intervention flows. Add-on attach rate (Resume Review, Resume Builder) materially up via CRM-driven sales sequences. Per-flow incremental revenue reported weekly via proper holdout methodology. 12 Months CVM channel contributing as a top-3 incremental revenue source for the company. Cross-channel lifecycle strategy (email + SMS + web push + iMessage/RCS as those channels mature in the US) live and documented. Process documentation and tooling stable enough to remove key-person risk. We keep our hiring process quick and simple: HR Introduction Call Team Interviews Challenge Reference Check (with three prior managers) Requirements You're a Fit If You Have 3+ years operating CVM/lifecycle programs on the US market specifically. US b2c subscription. This is non-negotiable — US deliverability, US carriers, US consumer behavior, US compliance. 5+ years total in CRM / lifecycle / CVM, with at least one stint owning the function end-to-end (not just executing). Hands-on operating experience with an enterprise omnichannel platform — Maestra strongly preferred; Braze, Iterable, Customer.io , or Klaviyo also relevant. Real, hands-on experience launching SMS as a marketing channel in the US (TCPA, A2P 10DLC, carrier compliance — not "I worked with a vendor who handled it"). Real, hands-on experience launching web push and measuring its lift. SQL good enough to pull your own segments and validate your own data. A subscription-business orientation: you think in LTV/payer, payback period, retention curves, and cohorts — not in opens and clicks. A track record of measurable incremental revenue from CRM, ideally validated through holdout. Bias toward action. We operate as a tiny team; you'll need to ship faster than you plan. Nice to Have Experience migrating off a damaged email domain. Experience in job search, career, HR-tech, or adjacent consumer subscription verticals (EdTech, FinTech, dating, streaming). iMessage Business / RCS experience. Communication (speak English and Russian). Benefits Clear mandate and ownership from day one. You're the function, not a contributor to it. The economics are highly leveraged — even a 5-percentage-point lift on month-1 rebill is meaningful to the bottom line of the company. Direct work with the CMO, CEO, and Growth PM. No layers, no politics. A market where your work is directly visible to users searching for their next job — outcomes you can feel. $4000-7000/month + 38DaysOff. To apply: https://weworkremotely.com/remote-jobs/jobhire-crm-cvm-lifecycle-retention-marketing-lead-us-b2c-subscription-only

Headquarters: Remote - Ireland About the Role Abnormal AI is looking for a Customer Solutions Engineer to join the Technical Account Management team. This role gives Abnormal a flexible, technical resource for situations that fall between standard support and a long-term, dedicated Technical Account Manager. Customer Solutions Engineers are floating technical specialists who partner with CSMs for the duration of a specific need, triggered by things like recurring support cases, asks beyond the typical support experience, or short-term project-based work. The ideal candidate combines deep technical fluency with strong triage judgment and is comfortable moving between engagements without an existing playbook. What you will do Serve as a flexible technical resource CSMs can bring into challenging or recurring account situations that a standard support case isn't built to resolve. Take on short-term, project-based technical engagements for customers without a dedicated TAM. Partner with CSMs to assess customer technical needs, join investigative or best-practices calls, and determine the right next step. Lead hands-on platform optimization: configuration reviews, best-practices setup, and proactive tuning that prevents issues from recurring. Document session recaps and next steps in the CRM so recommendations are clear to the customer and visible to the broader team. Advise customers on underused contracted features and flag upsell or professional services/deployment opportunities where relevant. Recognize when a situation exceeds this role's scope and hand it to the Critical Situation Manager or Technical Support with a clear, documented hand-off. Surface patterns across engagements to Product, Engineering, and Customer Success to drive systemic improvement. Must Haves 3+ years in a customer-facing technical role (email infrastructure, IT security/administration, engineering, or technical support) in enterprise SaaS or cybersecurity Solid grounding in Abnormal's platform and configuration best practices, sufficient to work independently with customers without a senior technical resource in the room Strong triage judgment; able to recognize quickly whether a situation calls for hands-on technical guidance or a more senior technical resource Comfortable stepping into a customer relationship for a defined engagement and stepping back out; this is not a standing account-ownership role Able to manage multiple concurrent, time-bound engagements across a broad book of business rather than a fixed set of named accounts Excellent communication skills across technical and business stakeholders, including comfort presenting to senior customer stakeholders Nice to Have Familiarity with email authentication/delivery protocols and cloud email platforms (Microsoft 365, Google Workspace) Prior experience in a floating/pooled technical resource model (e.g., professional services, deployment, or solutions engineering) Bachelor's degree in a technical field, or equivalent hands-on experience #LI-AA1 A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here . To apply: https://weworkremotely.com/remote-jobs/abnormal-customer-solutions-engineer-emea

Ben jij een ervaren software engineer of architect die inhoudelijk sterk wil blijven, maar ook graag een team verder brengt? Bij adesso Nederland zoeken we een Lead Software Engineering. Iemand die technologie, mensen en delivery bij elkaar brengt. Je bent niet alleen verantwoordelijk voor de ontwikkeling van je team, maar blijft zelf dicht bij de inhoud en onze klanten. Je werkt met ervaren software engineers aan uitdagende klantomgevingen en helpt tegelijkertijd onze Software Engineering-practice verder uit te bouwen. Van Java en moderne frontendtechnologie tot cloud, architectuur en agentic software engineering. Geen rol waarin je alleen maar gaat managen dus. Je blijft onderdeel van het vak. Wat ga je doen? Als Lead Software Engineering geef je leiding aan een team van ongeveer 5 tot 12 consultants en developers. Je coacht collega's, helpt ze groeien en zorgt ervoor dat zij op projecten zitten die passen bij hun kennis, ervaring en ontwikkeling. Tegelijkertijd ben je betrokken bij onze klanten en projecten. Je bewaakt de kwaliteit van delivery, denkt mee over architectuur en engineeringvraagstukken en springt bij wanneer een project inhoudelijk of organisatorisch extra aandacht nodig heeft. Je rol bestaat grofweg uit vier onderdelen: People & team Je voert 1-op-1's, begeleidt ontwikkeling en performance en helpt collega's bij hun volgende stap. Je zorgt voor een goede onboarding van nieuwe collega's en bent actief betrokken bij recruitment en selectie. Software Engineering & delivery Je blijft inhoudelijk betrokken bij software engineering en kunt zelf een leidende rol pakken op een technisch of architectuurvraagstuk. Je bewaakt kwaliteit, planning en risico's en zorgt dat onze teams voorspelbaar en professioneel leveren. Tegelijkertijd help je engineers zich ontwikkelen richting Agentic Engineering: minder tijd besteden aan het produceren van code en meer aan het definiëren van context, architectuur en kwaliteit, het orkestreren van agents en het reviewen en valideren van de output. Klanten & commercie Je ziet wat er bij klanten speelt en vertaalt dat naar kansen voor adesso. Je denkt mee in presales, voorstellen en bids en helpt oplossingen vorm te geven die technisch én commercieel kloppen. Bij bestaande klanten herken je mogelijkheden voor vervolgprojecten en uitbreiding. Daarbij verschuift de focus steeds meer van het leveren van capaciteit naar het realiseren van engineering outcomes: sneller bouwen, moderniseren en klanten helpen hun engineeringorganisatie toekomstbestendig te maken. Groei van onze Software Engineering-practice Je helpt bepalen welke kennis, technologie en capabilities we als team nodig hebben. Je volgt ontwikkelingen binnen onder andere Java, frontend, cloud, architectuur en Agentic Engineering en vertaalt die naar onze manier van werken. Je helpt daarmee niet alleen individuele engineers groeien, maar bouwt mee aan een schaalbare engineering capability binnen adesso. We zoeken geen klassieke people manager die de techniek inmiddels heeft losgelaten. We zoeken juist iemand die software engineering begrijpt én mensen kan meenemen in de ontwikkeling van het vak. Je hebt ruime ervaring binnen software engineering en hebt bijvoorbeeld gewerkt als Senior Software Engineer, Tech Lead, Lead Developer of Software Architect. Je hebt ervaring met Java en/of moderne software-architecturen en begrijpt wat nodig is om complexe softwareprojecten succesvol te leveren. Daarnaast: heb je circa 7–8 jaar of meer relevante ervaring binnen softwareontwikkeling en complexe projecten; heb je ervaring met het begeleiden, coachen of aansturen van andere engineers; kun je met zowel developers als klanten en management schakelen; begrijp je onderwerpen als delivery, capaciteit, kwaliteit en projectmarge; heb je ervaring binnen consultancy of projectmatige dienstverlening, of voel je je thuis in zo'n omgeving; vind je het interessant om mee te bouwen aan proposities, presales en klantrelaties; volg je ontwikkelingen rondom AI, AI-agents en Agentic Engineering; beheers je de Nederlandse en Engelse taal goed. Certificeringen op het gebied van Java, cloud, architectuur of software engineering zijn mooi meegenomen, maar voor ons zijn je ervaring en wat je daadwerkelijk hebt gebouwd en geleid belangrijker. Waarom deze rol interessant is Dit is een rol voor iemand die op een punt is gekomen waarop alleen zelf software bouwen niet meer genoeg is, maar die óók niet de hele dag in managementmeetings wil zitten. Je krijgt de ruimte om een team te ontwikkelen, invloed te hebben op onze technische richting, met klanten aan tafel te zitten én zelf inhoudelijk relevant te blijven. adesso Nederland is met ongeveer 100 collega's compact genoeg om echt invloed te hebben, terwijl je onderdeel bent van een internationale organisatie met meer dan 13.000 collega's. Daardoor combineren we korte lijnen en ondernemerschap met de kennis, klanten en mogelijkheden van een grote Europese IT-organisatie. En Software Engineering verandert snel. AI-agents gaan steeds meer onderdelen van de software lifecycle ondersteunen, van requirements en architectuur tot development, testing en delivery. Daardoor verschuift het werk van engineers naar het definiëren van context, architectuur en kwaliteit, en het orkestreren, beoordelen en bijsturen van AI. Binnen adesso willen we daar niet vanaf de zijlijn naar kijken. Als Lead Software Engineering help je mede bepalen hoe we deze ontwikkeling vertalen naar onze engineers, onze projecten en onze klanten. Klaar om niet alleen goede software te bouwen, maar ook het team eromheen sterker te maken? Dan maken we graag kennis met je. Find more English Speaking Jobs in Netherlands on Arbeitnow

Als Senior Kubernetes Engineer bij Conflux Consulting help je organisaties bij het ontwerpen, bouwen en optimaliseren van moderne cloud-native platformen. Je opereert op het snijvlak van infrastructuur, software engineering en DevOps. Je bent niet alleen uitvoerend sterk, maar ook inhoudelijk richtinggevend. Je adviseert klanten over containerisatie, platformarchitectuur en schaalbaarheid. Je bouwt productieklare Kubernetes-omgevingen en zorgt dat deze veilig, betrouwbaar en toekomstbestendig zijn. Wat ga je doen? Ontwerpen en implementeren van Kubernetes-platformen (on-prem, hybrid of cloud-native) Adviseren over containerstrategie en cloud-architectuur Opzetten van CI/CD pipelines en GitOps-implementaties Inrichten van observability (monitoring, logging, tracing) Automatiseren van infrastructuur met Infrastructure as Code Begeleiden van DevOps- en engineeringteams Actief bijdragen aan de verdere opbouw van de Kubernetes/Platform practice Je past goed bij deze rol als je jezelf herkent in (een deel van) het onderstaande profiel: Minimaal een afgeronde HBO Bachelor opleiding, bij voorkeur in Informatica, Software Engineering, Technische Informatica of vergelijkbaar Minimaal 5+ jaar ervaring in Cloud/DevOps/Platform Engineering Aantoonbare ervaring met productie-omgevingen op schaal Diepgaande kennis van Kubernetes in enterprise-omgevingen Ervaring met AWS (EKS), Azure (AKS) en/of GCP (GKE) Ervaring met CI/CD en Infrastructure as Code (bijv. Terraform) Ervaring met containerisatie (Docker) Sterke communicatieve vaardigheden en consultancy-ervaring Vermogen om complexe infrastructuurvraagstukken helder uit te leggen aan zowel engineers als stakeholders Toegevoegde waarde CKA en/of CKS certificering Ervaring met GitOps (ArgoCD, Flux) Ervaring met observability tooling (Prometheus, Grafana, ELK) Ervaring met security hardening en cloud security Scripting (Bash, Python) Benefits Salaris tot €6.500 bruto per maand (op basis van 40 uur), afhankelijk van kennis, ervaring en senioriteit Mobiliteitsbudget van €825 per maand of een leasebudget van €925 Goede pensioenregeling 25 vakantiedagen Hybride werken: thuis, bij de klant en op kantoor Vrije keuze in laptop en telefoon Ontwikkeling & inhoud Opleidingsbudget en ruime mogelijkheden voor certificering Uitdagende projecten bij toonaangevende organisaties Actieve rol in het inhoudelijk verder vormgeven van Conflux Consulting Werkomgeving Informele cultuur met sterke, inhoudelijk gedreven engineers Veel ruimte voor initiatief en ondernemerschap CAO & arbeidsvoorwaarden Conflux is aangesloten bij de Vereniging van Detacheerders Nederland (VvDN); op deze functie is de CAO voor Detacheerders Nederland (VvDN) van toepassing. Over Conflux Consulting Conflux Consulting is een gespecialiseerd IT-consultancy collectief met focus op hoogwaardige engineering. Wij combineren technische diepgang met ondernemerschap en bouwen duurzame klantrelaties op basis van expertise. Word onderdeel van Conflux Wij verwelkomen talent met diverse achtergronden en nodigen iedereen uit om te solliciteren, ongeacht gender, achtergrond of andere kenmerken. Heb je vragen over de vacature? Neem contact op met Puck Schelstraete (Talent & Development Lead) via Interim Talent Acquisition Specialist ) via +31 (0)6 40 87 55 89. Hopelijk tot snel! Find more English Speaking Jobs in Netherlands on Arbeitnow

Up to £100,000 depending on experience 📍 Salary based on London. Hybrid, with flexible hours. Fanvue is one of the fastest-growing creator monetisation platforms globally. We're an AI-powered, creator-first platform helping creators connect, engage, and earn directly from their audiences at scale. Following our recent Series A, Fanvue has surpassed $200m+ in annual recurring revenue, with triple-digit year-on-year growth, supporting hundreds of thousands of creators and millions of fans worldwide. Growth engineering at Fanvue exists to move core product metrics fast. It's a small team that reads out experiments every week, and the surface area is enormous: signup, onboarding, activation, referral loops, retention, and the funnels underneath all of them. There is far more worth testing than there are people to test it. This role exists to close that gap. 🎯 The Role We're hiring a Full Stack Engineer to work on Fanvue's Growth streams, partnering closely with Product, Design, Data and Marketing to design, ship and iterate on high-impact experiments across acquisition, onboarding, activation and retention. This is highly execution-focused. You'll be testing ideas in production within your first weeks, not writing specs about them. The team runs on a weekly experiment cadence with real readouts, so the loop between an idea and knowing whether it worked is short, and you own both ends of it. It suits someone who wants to be judged on whether the metric moved. 🚀 What You'll Do Design, build and ship growth experiments across signup, onboarding, activation and retention flows Own features end to end, from idea through implementation, measurement and iteration Build and refine growth loops such as referrals, sharing mechanics and viral surfaces Run A/B and multivariate tests, and read the results honestly, including the ones that kill your own idea Partner with Product and Design to prioritise and scope what's worth testing Improve the performance and reliability of growth-critical user journeys Use analytics and data tooling to guide technical and product decisions Continuously find and remove friction in creator and fan funnels 👀 Who You Are Strong full stack engineering experience with a clear bias toward shipping Comfortable across frontend and backend, and willing to go wherever the problem is Experienced with modern web stacks such as TypeScript, Node.js, React and relational databases Familiar with experimentation frameworks, analytics tooling and funnel metrics Comfortable in ambiguity, with a strong bias toward action Data-informed and outcome-driven rather than feature-focused A clear communicator who works well with product, design and growth partners High ownership, high agency, and an appetite for fast iteration Nice to have Experience in the creator economy, consumer subscription, marketplaces or social platforms Hands-on with Amplitude, Mixpanel, PostHog or similar A track record of growth loops you built that are still running ✨ You'll Thrive Here If You'd rather ship a scrappy test this week than a polished one next quarter You want to be measured on whether the number moved, not on what you delivered You're happy to kill your own experiment when the data says so You go and find the opportunity rather than waiting for it to arrive as a ticket ⚠️ You'll Struggle Here If You prefer long planning cycles to fast iteration You need tightly defined requirements before you can start You optimise for technical purity over measurable impact You're uncomfortable with a roadmap that changes when the results say it should 🌍 Why Join Fanvue? Sunday Times Best Places to Work, two years running. We don't just say we have great culture, we prove it Ship work that directly moves growth, activation and revenue, and see it in the numbers the same week Work at the intersection of product, data and engineering, with high visibility across the business Fanvue supports hundreds of thousands of creators and millions of fans globally. The problems you solve here are real and immediate Series A momentum: triple-digit growth means the work you do now sets the standard for years Unlimited holiday Hybrid working, with flexible hours according to when you work best Salary reviews every six months, we don't wait for annual cycles to recognise your growth Budget for growth and wellbeing, plus support with upskilling and development costs A culture built on innovation, speed, excellence, ownership and transparency ⭐ Fanvue is for Everyone We know that diverse teams build better products. Even if you do not meet every requirement, we encourage you to apply. Potential, mindset, and ambition matter just as much as experience. Find Jobs in United Kingdom on Arbeitnow

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. The Role We are looking for an Engineering Leader to manage and scale multiple product lines in the Voice, BPO, and Workforce Management space. This is a high-impact leadership role that sits at the intersection of real-time voice systems, operations research, and data-intensive platform engineering. You will report directly to the Head of Engineering and own the engineering organization that builds the infrastructure powering Ema's Voice AI Employees, Agent QA, auto-learning pipelines, rich analytics, and workforce optimization capabilities — all operating as scalable, multi-tenant systems deployed across global geographies. You will collaborate with Product, ML/AI, and Go-to-Market teams to translate customer needs into production systems that handle high volumes of voice data, deliver real-time insights, and continuously improve through automated learning loops. As the owner of multiple product lines, you will balance roadmap priorities across Voice, BPO operations, and WFM (work force management) — ensuring each product evolves cohesively while meeting distinct customer needs. What You Will Do Scalable Multi-Tenant Systems Architect and build multi-tenant systems that serve enterprise customers across geographies with strict data residency, isolation, and compliance requirements. Design high-throughput ingestion systems capable of processing large volumes of voice data, call metadata, and operational telemetry in near real-time. Make foundational architectural decisions on data stores, stream processing, and storage tiers — balancing query performance, cost, and operational simplicity. Champion SOLID principles, clean architecture, and engineering rigor across all codebases — ensuring systems are testable, extensible, and maintainable at scale. Team Building & Engineering Culture Recruit, hire, and develop senior engineers across a multi-disciplinary function spanning voice engineering, backend systems, data engineering, and applied operations research. Establish engineering standards, code review culture, and a strong bias toward shipping — with equal commitment to system reliability and customer experience. Coach and grow senior/staff engineers into technical leaders; manage engineering managers as the organization scales. Drive cross-functional alignment with Product, ML/AI, and Go-to-Market teams to ensure the platform evolves in lockstep with customer needs and market feedback. Voice Platform & Agent QA Own the end-to-end engineering for Ema's AgentQA capabilities — real-time voice pipelines, telephony integrations, and voice-to-action workflows. Build and scale the Agent QA platform: automated call scoring, compliance monitoring, sentiment analysis, and coaching feedback loops. Design auto-learning systems that continuously improve voice agents from production interactions — closed-loop feedback, model retraining triggers, and quality regression detection. Deliver rich voice analytics: call volume trends, handle time distributions, first-call resolution metrics, agent performance dashboards, and anomaly detection. Build scalable voice pipeline across geographies – keeping in mind PII, security and compliance requirements. Workforce Management & Operations Research Build WFM capabilities including demand forecasting, shift scheduling, real-time adherence monitoring, and capacity planning — applying operations research techniques to optimize workforce utilization. Design and implement optimization algorithms for headcount modeling, skill-based routing, and workload balancing across multi-site, multi-timezone contact center operations. Partner with ML/AI teams to integrate predictive models for call volume forecasting, attrition risk, and staffing efficiency. What We Look For Required 12+ years of software engineering experience, with 4+ years leading engineering teams of 8+ engineers at high-growth startups or top-tier tech companies. Deep expertise in building real-time, data-intensive systems. Strong foundation in data stores and storage systems: relational databases, time-series stores, columnar analytics engines, and caching layers — with the judgment to choose the right tool for the workload. Experience building quality software using AI-driven tools and workflows. Track record of taking products from 0→1 and iterating rapidly based on customer feedback. Hands-on proficiency with SOLID principles, clean architecture, and design patterns — you write and review production code and lead by example on system design. Experience building scalable multi-tenant SaaS platforms with data isolation, geo-distributed deployments, and compliance requirements (SOC 2, GDPR, HIPAA). Track record of building ingestion systems for high volumes of load — event-driven architectures, stream processing (Kafka, Flink, or equivalent), and batch/real-time hybrid pipelines. Strong product sense: ability to deeply understand customer problems in contact center, voice, and workforce domains and translate them into clean technical solutions. Proven ability to hire, develop, and retain high-caliber engineers across multiple disciplines in competitive markets. Good to have Experience in voice/telephony systems: WebRTC, SIP, voice-over-IP infrastructure, or contact center platforms. Background in operations research or optimization: scheduling algorithms, linear/integer programming, constraint satisfaction, or demand forecasting models. Experience building analytics platforms: OLAP systems, real-time dashboards, metric computation engines, or BI infrastructure. Prior work on auto-learning or continuous improvement systems: feedback loops from production data, automated retraining pipelines, or quality monitoring systems. Experience with AI/ML-powered products in enterprise settings — agentic automation, LLM orchestration, or AI-driven UX. Familiarity with WFM or contact center operations — staffing models, Erlang-based capacity planning, or real-time adherence systems. Why Ema Build at the intersection of Voice AI, operations research, and enterprise-scale systems — a rare combination of deeply technical challenges with direct customer impact. Shape the engineering foundation of a category-defining AI platform — your architectural decisions will power how the world's largest enterprises run their voice and workforce operations. High-impact, high-visibility role with direct access to the Head of Engineering, co-founders, and enterprise customers. A team of exceptional engineers from Google, Meta, Microsoft Research, and top CS programs worldwide. Competitive compensation, meaningful equity, and the opportunity to build something that matters. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics. Find more English Speaking Jobs in United Kingdom on Arbeitnow

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Client Engineering is the technical arm of Plaid's European GTM team. We own our customers' technical outcomes: designing the right solution, getting it built and live, and keeping it healthy as they grow. We work with the most technically forward companies in European financial services – fintechs, lenders, and payments and wealth platforms – helping them build on payment initiation, account data, verification, and underwriting across UK Open Banking and PSD2. As a Sales Engineer for Plaid Europe, you'll be a technical lead across the region's sales team, partnering with 5–6 Account Executives from the first technical conversation through proof of concept to signature. You'll run technical discovery, design solutions, and demo and prove Plaid's products to engineers and commercial buyers, making sure every customer's architectural decisions set them up for long-term success on the platform. You'll also help build the Sales Engineering function in Europe, from the demo environments, sample apps, discovery frameworks, and integration playbooks the team sells with, to feeding what you hear from customers back into Plaid's roadmap. Responsibilities Serve as technical lead on active opportunities across Startup, Mid-Market, and Enterprise accounts, partnering with Account Executives throughout the sales cycle. Run technical discovery and map customer requirements to Plaid's products and integration patterns. Deliver tailored demonstrations and own proof-of-concept engagements, including hands-on debugging with customer engineers. Design integration architectures and validate the approach in sandbox with the customer's engineers before signature. Respond to technical, security, and regulatory questionnaires and RFPs. Build and maintain reusable selling assets for European use cases and competitive positioning. Translate customer and prospect feedback into structured product insight for Product and Engineering. Raise the technical fluency of the sales team through enablement and deal reviews. Qualifications 4+ years in a customer-facing technical role, such as sales engineering, solutions, implementation, or customer engineering, ideally at an API platform. Hands-on understanding of APIs and web and mobile integration, including REST, OAuth, webhooks, JSON, and SDKs, with the ability to build and debug a demo in JavaScript, Python, or similar. Experience working in, or selling to, fintech or financial services in the UK or EU. Ability to move between deep technical conversations and business value conversations with different audiences. A consultative approach, strong customer empathy, and clear communication skills. A self-starter who's comfortable building in a growing region with a globally distributed team. Willingness and ability to travel across the UK and Europe up to 25% of the time. Nice-to-Haves Knowledge of open banking, including UK Open Banking, PSD2/PSD3, AIS/PIS, and VRP. Domain depth in payments, identity verification, or credit and underwriting. A formal technical background or prior software engineering experience. Fluency in a second European language. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at ----- style="min-height:1.5em"> Please review our Candidate Privacy Notice here . Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Compensation: £104,419 – £123,919 • Offers Equity • Offers Commission United Kingdom • £104,419 – £123,919 • Offers Equity • Offers Commission Find Jobs in United Kingdom on Arbeitnow

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Client Engineering is the technical arm of Plaid's European GTM team. We own our customers' technical outcomes: designing the right solution, getting it built and live, and keeping it healthy as they grow. We work with the most technically forward companies in European financial services – fintechs, lenders, and payments and wealth platforms – helping them build on payment initiation, account data, verification, and underwriting across UK Open Banking and PSD2. As an Implementation Engineer for Plaid Europe, you'll own customer integrations from the moment a contract is signed to the moment they're live in production and growing. You'll write the integration plan, run the kickoff, debug alongside the customer's engineers, validate their sandbox implementation, and see them through go-live, keeping their Account Manager up to date with notes that make the relationship easy to continue. You'll do the same for existing customers adding a new product, use case, or market. You'll also build the resources that make the next integration faster – the checklists, the common pitfalls, and the answers to the questions every customer asks – because this team is small and its leverage comes from what gets written down. Responsibilities Own a portfolio of customer integrations from signature to production launch, including plans, milestones, and exit criteria. Run scheduled implementation support for standard integrations, as well as one-off debugging engagements for customers who need a targeted fix. Lead technical onboarding for existing customers adopting a new Plaid product, use case, or market. Debug integration issues hands-on with customer engineers across API, SDK, OAuth redirect, and webhook behaviour. Validate sandbox implementations and run go-live readiness checks. Use Plaid's own data to proactively diagnose integration and conversion problems. Produce written handovers to Account Management and maintain the team's reusable implementation resources. Escalate recurring integration failures to Product and Engineering as clear patterns, backed by evidence. Qualifications 4+ years in a customer-facing technical role, such as implementation, integration, solutions, or technical account management, ideally at an API platform. Hands-on experience with REST APIs, OAuth, webhooks, JSON, and web and mobile SDKs. Comfort working in Postman or curl and reading API documentation critically. Experience with SQL or other data querying tools. A track record of owning technical projects end to end, with real deadlines and direct relationships with customer engineers. Clear written communication skills, including plans, handovers, and customer updates. Comfort working independently in a small regional team alongside a globally distributed function. Nice-to-Haves Knowledge of open banking, including UK Open Banking, PSD2/PSD3, AIS/PIS, and VRP. Domain depth in payments, identity verification, or credit and underwriting. A formal technical background or prior software engineering experience. Experience with mobile integrations. Fluency in a second European language. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at ----- style="min-height:1.5em"> Please review our Candidate Privacy Notice here . Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Compensation: £69,193 – £81,774 • Offers Equity United Kingdom • £69,193 – £81,774 • Offers Equity Find Jobs in United Kingdom on Arbeitnow

About Zelara Most CRM marketing still blasts generic messages at scale and calls it "personalization." Our founders experienced this firsthand in senior roles at HelloFresh, Salesforce, Uber, and others. Backed by top-tier VCs, they decided to build a better way. Zelara is an agentic lifecycle marketing platform that improves with every interaction. It works with the CRM infrastructure our customers already use, replacing static journeys and manual segmentation with a system that creates content, makes individual-level decisions, and learns from every outcome. With bunq, Europe's second-largest neobank, we delivered +7.4% activation and +66% reactivation uplift, measured against a control group. We raised a €3M pre-seed and are generating revenue with paying enterprise customers. We are growing our Solutions Architecture team to make the path from integration to measurable value repeatable across more customers. The Role This is a deeply technical customer role centered on post-sales value realization, with involvement in pre-sales discovery. It is not reactive customer success, nor a pre-sales role that hands off at signature. You own technical value realization for a portfolio of customers, from discovery and onboarding through live experiments, measured results, and scaled adoption. You and the commercial lead run each account as a pair. They own pricing, contracts, expansion, and renewal. You own the technical plan and the evidence behind those decisions: before signature you lead technical discovery alongside them, after signature you are the customer's named technical lead for solution design, data mapping, the experiment plan, and go-live. There is no separate customer success manager; the two of you hold the whole relationship. Product, Engineering, and Science own the platform, the integrations, and the measurement standards. You turn their work into a working customer solution and bring them in when a requirement crosses those lines. Our customers are mid-market and enterprise B2C companies across Europe: fintech, e-commerce, travel, and employee benefits. What You Will Do Lead technical discovery before signature: how the customer makes money, which metric moves it, and what the pilot can credibly promise Own onboarding: align stakeholders, define the data mapping and acceptance criteria, and take the customer live on its existing CRM stack Design and pre-register each experiment to Zelara's scientific standards, because a success bar set after seeing the data is not a result Own the customer-facing readout: reconcile our analysis with the customer's data, and say clearly when the evidence is not decision-ready Enable the customer's team to run campaigns independently Partner with the commercial lead on annual contracts, expansion, and renewal Drive the product loop: turn recurring customer needs into product opportunities and research questions, backed by evidence from live accounts, and use agents to build the scripts and prototypes that unblock an account in the meantime Your First 90 Days 30 Days: Learn the platform and the portfolio, join the active accounts, and take over your first technical customer relationship. 60 Days: Lead one onboarding independently, with the integration, experiment design, and measurement plan agreed before launch. 90 Days: Own a small portfolio and deliver your first evidence-backed results readout. Who You Are You have led deployments, implementations, or technical accounts for mid-market or enterprise customers at a B2B SaaS company, and your work has influenced adoption, renewal, or expansion. You judge a customer's business before you design for it: which metric their leadership is held to, and what matters that nobody has said out loud. You have led real customer integrations and know that a successful import is not the same as usable data. You turn a business question into an analysis plan and understand experiments: control groups, effect sizes, statistical power, and why the design is frozen before it runs. You know the lifecycle marketing stack (Braze, Bird, Iterable, Klaviyo, Customer.io , Emarsys, HubSpot) and how a CRM team works inside it. You are credible with a Head of CRM and their data engineer in the same hour. You say the uncomfortable thing early, and a commitment with a date on it is a commitment. You are AI-native. A software engineering background is not required, but building with agents is: the script that reshapes a customer's export, the prototype that shows a CRM team what we mean. You are fluent in English. German is a strong advantage given our current market focus. Bonus You have run lifecycle or CRM programs in-house, so you know what we ask a customer's team to change. You have experience with experimentation platforms, bandits, or applied ML in production. You have converted pilots or POCs into multi-year contracts and can say what moved the decision. How We Work We are an AI-first team. We adopt what makes us faster and drop what does not, and we value evidence, speed, and clear ownership over process theater. What We Offer Work alongside founders who have built and sold an AI-driven SaaS business and led large-scale B2C operations from the customer's side of the table. A senior individual-contributor role in a small Solutions Architecture team, with real influence on how we deliver. Autonomy over onboarding, pilots, and technical value realization, and a tight working relationship with Product, Science, and Engineering. Direct access to real customers and real production data. Based in Berlin, with regular travel to European customers. A competitive salary and a meaningful equity stake. Your choice of a Deutschlandticket or bike subscription, plus a gym membership. Our Compass We are guided by four core values: Seek Truth: We ground decisions in evidence. When the facts change, we change our mind. Act with Integrity: We build trust through transparency, reliability, and ownership. Put Customers First: We succeed only when they succeed. Find more English Speaking Jobs in Germany on Arbeitnow

Als Senior Machine Learning Engineer bij BigData Republic combineer je diepgaande technische expertise met consultancy. Je ontwikkelt niet alleen machine-learningoplossingen, maar brengt ze daadwerkelijk naar productie en adviseert klanten over architectuur, technologie en de beste aanpak om duurzame businesswaarde te realiseren. Voor deze senior positie zoeken we een ervaren professional met minimaal 6 jaar relevante werkervaring, waarvan minimaal 3 jaar hands-on ervaring met machine learning in professionele productieomgevingen. Wat ga je doen? Machine Learning Engineering bevindt zich bij BigData Republic op het snijvlak van Machine Learning, MLOps, Software Engineering, Data Engineering en Cloud Engineering. Je werkt in multidisciplinaire teams bij klanten aan end-to-end machine-learningoplossingen: van probleemdefinitie en architectuur tot ontwikkeling, deployment, monitoring en optimalisatie. Je; analyseert complexe business- en technische vraagstukken en vertaalt deze naar robuuste ML-oplossingen; adviseert klanten en stakeholders over machine learning, MLOps, architectuur en technische keuzes; ontwikkelt en productionaliseert machine-learningmodellen; ontwerpt schaalbare ML- en MLOps-architecturen; bouwt production-grade software rondom machine-learningoplossingen; werkt aan deployment, CI/CD, model serving, monitoring en observability; werkt samen met Data Scientists, Data Engineers, Software Engineers en Cloud Engineers; helpt klanten en collega's inhoudelijk naar een hoger niveau; draagt actief bij aan kennisdeling en thought leadership binnen BigData Republic. De technische uitdagingen variëren van machine-learningmodellen met directe businessimpact tot toepassingen rond deep learning, generative AI, Large Language Models (LLM's), predictive modelling, causal inference en reinforcement learning. Bij BigData Republic zien we een machine-learningmodel niet als het eindproduct. Een model levert pas waarde wanneer het betrouwbaar, schaalbaar en beheersbaar in productie draait. Daarom benaderen we ML-oplossingen als volwaardige softwareproducten. Technologieën waarmee we veel werken zijn onder andere; Python Airflow Apache Spark Kafka Docker Tensorflow Pytorch Kubernetes Terraform AWS/ Azur/ GCP en private-cloud omgevingen Welke technologie je inzet, hangt af van het vraagstuk. We zoeken daarom geen engineer die simpelweg zoveel mogelijk tools kent, maar een ervaren professional die begrijpt welke technische oplossing in welke situatie passend is en waarom. Je werkt aan complexe data-, AI- en machine-learningvraagstukken voor grote organisaties in verschillende sectoren. Tegelijkertijd ben je onderdeel van een klein, informeel en inhoudelijk gedreven team van ervaren Machine Learning Engineers, MLOps Engineers, Data Engineers en Data Scientists. Kennisdeling en thought leadership zijn fundamentele onderdelen van BigData Republic. We organiseren iedere vrijdag kennissessies op kantoor, schrijven inhoudelijke artikelen, organiseren meetups en bezoeken en spreken op conferenties. Je krijgt veel vrijheid om je eigen expertise verder te ontwikkelen en tegelijkertijd collega's en klanten verder te helpen. Dit is nadrukkelijk een senior consultancyrol. Om succesvol te kunnen zijn in deze functie zoeken we iemand die beschikt over: minimaal 6 jaar relevante professionele werkervaring binnen software engineering, data engineering, data science en/of machine learning; minimaal 3 jaar hands-on professionele ervaring met machine learning, waarbij je aantoonbaar ML-oplossingen naar productie hebt gebracht en beheerd, verbeterd of opgeschaald; ervaring met het zelfstandig analyseren van complexe technische vraagstukken en het adviseren van klanten en stakeholders over oplossingen, architectuur en technische keuzes; ruime professionele programmeerervaring met Python; gedegen kennis van software-engineeringprincipes en ervaring met het bouwen van production-grade oplossingen; ervaring met minimaal één grote cloudomgeving: AWS, Azure en/of GCP; ervaring met MLOps, waaronder deployment, CI/CD, monitoring, observability en schaalbaarheid; academisch werk- en denkniveau, bij voorkeur met een achtergrond in Data Science, Computer Science, Engineering of een vergelijkbaar vakgebied; uitstekende beheersing van het Nederlands (minimaal C1) en Engels, zowel mondeling als schriftelijk. Daarnaast is het van toegevoegde waarde als je ervaring hebt met: consultancy binnen complexe enterprise-omgevingen; solution architecture of technical leadership; Kubernetes en Terraform; Spark, Kafka en/of Airflow; TensorFlow en/of PyTorch; generative AI en Large Language Models (LLM's); deep learning, causal inference of reinforcement learning; Scala, Kotlin en/of SQL; open-sourceprojecten, meetups, conferenties of andere vormen van kennisdeling. We verwachten niet dat je met iedere technologie uit onze stack hebt gewerkt. De senioriteit van je ervaring, het daadwerkelijk in productie brengen van machine-learningoplossingen, je vermogen om klanten inhoudelijk te adviseren en je beheersing van het Nederlands zijn voor deze rol wel essentieel. Je bent technisch sterk, maar kijkt verder dan alleen de technologie. Je kunt complexe situaties doorgronden, alternatieven afwegen en uitleggen waarom een bepaalde oplossing wel of niet verstandig is. Je voelt je comfortabel in gesprekken met engineers, architecten en business stakeholders. Tegelijkertijd blijf je graag zelf bouwen. BigData Republic zoekt geen consultant die alleen vanaf de zijlijn adviseert: je combineert senior technisch advies met hands-on Machine Learning Engineering. Benefits Salaris tot €6.700 bruto per maand (op basis van 40 uur), afhankelijk van kennis, ervaring en senioriteit Daarbovenop ontvang je 8% vakantietoeslag, jaarlijks uitgekeerd in mei Mobiliteitsbudget van €825 of een leasebudget van €925 per maand Bonus- en pensioenregeling 25 vakantiedagen 36 of 40 uur per week Hybride werken: de juiste balans tussen thuis, kantoor en klant Vrije keuze in laptop en telefoon die het beste bij jou passen Uitdagende én leuke projecten bij aansprekende klanten Ruimte om conferenties te bezoeken, te spreken en certificeringen te behalen Actieve deelname aan ons career path framework: groei met ons mee Een informele cultuur met ruimte voor initiatief en innovatie Vrijdagmiddagborrels, sportactiviteiten en sociale events (vrijblijvend) CAO & arbeidsvoorwaarden Conflux is aangesloten bij de Vereniging van Detacheerders Nederland (VvDN); op deze functie is de CAO voor Detacheerders Nederland (VvDN) van toepassing. Over BigData Republic BigData Republic is een high-end consultancybureau gespecialiseerd in data science, data engineering en machine learning. We zijn AI-native en combineren dit met diepgaande engineering kennis. Op deze manier bieden wij onze klanten technische begeleiding tot duurzame en innovatieve oplossingen. Als niche-consultancyteam onderscheiden we ons van de grote spelers: we leveren kwaliteit boven kwantiteit en willen een thought leader in ons vakgebied zijn. Voor onze klanten richten we ons op het creëren van businesswaarde met innovatieve datasolutions die een duurzame impact hebben. Kennisdeling en thought leadership zijn fundamentele pijlers van onze organisatie: elke vrijdag organiseren we kennissessies op kantoor, we schrijven blogposts, organiseren meetups en bezoeken conferenties. Bij BigData Republic kun je dé expert in de ruimte zijn, en tegelijkertijd elke dag iets nieuws leren van je collega's. Word onderdeel van BigData Republic Wij verwelkomen professionals met verschillende achtergronden en perspectieven en nodigen iedereen die aan de kerncriteria voor deze senior positie voldoet uit om te solliciteren. Interesse? Solliciteer eenvoudig via de Solliciteren -button. Heb je vragen over de vacature? Neem contact op met Puck Schelstraete (Talent & Development Lead) via Interim Talent Acquisition Specialist ) via +31 (0)6 40 87 55 89. Hopelijk tot snel! Find more English Speaking Jobs in Netherlands on Arbeitnow

We are expanding our team with a Data & ML Infrastructure Engineer who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready. In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems. This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform. Key Responsibilities: Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training. Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition. Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence. Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products. Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows. Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints. Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies. Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage. Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements. Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs. Manage resource and cost controls, including budgets, approvals, and tracking. Contribute to documentation, operational runbooks, and onboarding materials for the platform. Why Join Us? Join one of Europe's most promising deep-tech scale-ups. Shape the future of a rapidly growing multidisciplinary R&D organization. Competitive salary and benefits package. Enjoy regular team activities and company events. Fresh team lunches provided3 times/ week. Required Qualifications: MSc or equivalent with 5+ years' industry experience in Computer Science, Data Engineering, Machine Learning, or a related field. Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure). Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments. Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent). Experience with AWS Sagemaker or Google Vertex AI platforms. Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent). Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent). Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar). Experience with CI/CD systems (e.g., GitLab CI). Programming skills in Python. Experience with monitoring and observability tools (Prometheus, Grafana). Understanding of DevOps and MLOps practices. Ability to work across teams and translate requirements into scalable infrastructure solutions. Nice to Have: Knowledge of data governance, IAM, and security frameworks. Experience with cost optimization and resource management in cloud environments. Familiarity with multi-tenant or multi-product platform architectures. Experience working with EU data compliance constraints in energy, maritime or defense. Security & Compliance: You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening. Find more English Speaking Jobs in Netherlands on Arbeitnow